Aberrant computational mechanisms of social learning and decision-making in schizophrenia and borderline personality disorder

被引:37
|
作者
Henco, Lara [1 ,2 ]
Diaconescu, Andreea O. [3 ,4 ,5 ,6 ]
Lahnakoski, Juha M. [1 ,7 ,8 ]
Brandi, Marie-Luise [1 ]
Hoermann, Sophia [1 ]
Hennings, Johannes [9 ]
Hasan, Alkomiet [10 ,11 ]
Papazova, Irina [10 ]
Strube, Wolfgang [10 ]
Bolis, Dimitris [1 ,12 ]
Schilbach, Leonhard [1 ,2 ,12 ,13 ]
Mathys, Christoph [4 ,5 ,14 ,15 ]
机构
[1] Max Planck Inst Psychiat, Independent Max Planck Res Grp Social Neurosci, Munich, Germany
[2] Grad Sch System Neurosci, Munich, Germany
[3] Univ Basel, Dept Psychiat UPK, Basel, Switzerland
[4] Univ Zurich, Inst Biomed Engn, Translat Neuromodeling Unit TNU, Zurich, Switzerland
[5] Swiss Fed Inst Technol, Zurich, Switzerland
[6] Univ Toronto, Ctr Addict & Mental Hlth CAMH, Krembil Ctr Neuroinformat, Toronto, ON, Canada
[7] Res Ctr Julich, Inst Neurosci & Med, Brain & Behav INM 7, Julich, Germany
[8] Heinrich Heine Univ Dusseldorf, Inst Syst Neurosci, Med Fac, Dusseldorf, Germany
[9] Kbo Isar Amper Klinikum Munich East, Dept Dialect Behav Therapy, Munich, Germany
[10] Ludwig Maximilians Univ Munchen, Univ Hosp Munich, Dept Psychiat & Psychotherapy, Munich, Germany
[11] Univ Augsburg, Med Fac, Dept Psychiat Psychotherapy & Psychosomat, Augsburg, Germany
[12] Int Max Planck Res Sch Translat Psychiat IMPRS TP, Munich, Germany
[13] Ludwig Maximilians Univ Munchen, Med Fac, Munich, Germany
[14] Scuola Int Super Studi Avanzati SISSA, Trieste, Italy
[15] Aarhus Univ, Interacting Minds Ctr, Aarhus, Denmark
基金
瑞士国家科学基金会;
关键词
HIERARCHICAL PREDICTION ERRORS; BAYESIAN MODEL SELECTION; SCALE; PSYCHIATRY; DEPRESSION; MIDBRAIN; EMOTION; VERSION; AUTISM; MIND;
D O I
10.1371/journal.pcbi.1008162
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Author summary People suffering from psychiatric disorders frequently experience difficulties in social interaction, such as an impaired ability to use social signals to build representations of others and use these to guide behavior. Compuational models of learning and decision-making enable the characterization of individual patterns in learning and decision-making mechanisms that may be disorder-specific or disorder-general. We employed this approach to investigate the behavior of healthy participants and patients diagnosed with depression, schizophrenia, and borderline personality disorder while they performed a probabilistic reward learning task which included a social component. Patients with schizophrenia and borderline personality disorder performed more poorly on the task than controls and depressed patients. In addition, patients with BPD concentrated their learning efforts more on the social compared to the non-social information. Computational modeling additionally revealed that borderline personality disorder patients showed a reduced flexibility in the weighting of newly obtained social and non-social information when learning about their predictive values. Instead, we found exagerrated learning of the volatility of social and non-social information. Additionally, we found a pattern shared between patients with borderline personality disorder and schizophrenia who both showed an over-reliance on predictions about social information during decision-making. Our modeling, therefore, provides a computational account of the exaggerated need to make sense of and rely on one's interpretation of others' behavior, which is prominent in both disorders. Psychiatric disorders are ubiquitously characterized by debilitating social impairments. These difficulties are thought to emerge from aberrant social inference. In order to elucidate the underlying computational mechanisms, patients diagnosed with major depressive disorder (N = 29), schizophrenia (N = 31), and borderline personality disorder (N = 31) as well as healthy controls (N = 34) performed a probabilistic reward learning task in which participants could learn from social and nonsocial information. Patients with schizophrenia and borderline personality disorder performed more poorly on the task than healthy controls and patients with major depressive disorder. Broken down by domain, borderline personality disorder patients performed better in the social compared to the non-social domain. In contrast, controls and MDD patients showed the opposite pattern and SCZ patients showed no difference between domains. In effect, borderline personality disorder patients gave up a possible overall performance advantage by concentrating their learning in the social at the expense of the non-social domain. We used computational modeling to assess learning and decision-making parameters estimated for each participant from their behavior. This enabled additional insights into the underlying learning and decision-making mechanisms. Patients with borderline personality disorder showed slower learning from social and non-social information and an exaggerated sensitivity to changes in environmental volatility, both in the non-social and the social domain, but more so in the latter. Regarding decision-making the modeling revealed that compared to controls and major depression patients, patients with borderline personality disorder and schizophrenia showed a stronger reliance on social relative to non-social information when making choices. Depressed patients did not differ significantly from controls in this respect. Overall, our results are consistent with the notion of a general interpersonal hypersensitivity in borderline personality disorder and schizophrenia based on a shared computational mechanism characterized by an over-reliance on beliefs about others in making decisions and by an exaggerated need to make sense of others during learning specifically in borderline personality disorder.
引用
收藏
页数:22
相关论文
共 50 条
  • [1] Risky decision-making in borderline personality disorder
    Svaldi, Jennifer
    Philipsen, Alexandra
    Matthies, Swantje
    PSYCHIATRY RESEARCH, 2012, 197 (1-2) : 112 - 118
  • [2] Impaired decision-making in borderline personality disorder
    Bajzat, Bettina
    Soltesz, Peter
    Soltesz-Varhelyi, Klara
    Levay, Evelyn Erika
    Unoka, Zsolt Szabolcs
    FRONTIERS IN PSYCHOLOGY, 2023, 14
  • [3] Medication decision-making by adults with borderline personality disorder
    Stephan, Alice
    Krawitz, Roy
    Jackson, Wendy
    AUSTRALASIAN PSYCHIATRY, 2007, 15 (05) : 385 - 389
  • [4] Borderline personality disorder and decision-making capacity.
    Lazaro, F. Garcia
    EUROPEAN PSYCHIATRY, 2022, 65 : S666 - S667
  • [5] The Relationship of the Impulsivity and Decision-Making Behavior with Social Cognitive Skills in Borderline Personality Disorder
    Vatansever, Buesra Kuzgun
    Buyukgok, Deniz
    Aypak, Oya Celik
    Ercis, Mete
    Sahin, Dogan
    NOROPSIKIYATRI ARSIVI-ARCHIVES OF NEUROPSYCHIATRY, 2024, 61 (02): : 119 - 127
  • [6] BAYESIAN DECISION-MAKING UNDER UNCERTAINTY IN BORDERLINE PERSONALITY DISORDER
    Manavalan, Mathi
    Song, Xin
    Nolte, Tobias
    Fonagy, Peter
    Montague, P. Read
    Vilares, Iris
    JOURNAL OF PERSONALITY DISORDERS, 2024, 38 (01) : 53 - +
  • [7] Altered emotional decision-making in prisoners with borderline personality disorder
    Kirkpatrick, Tim
    Joyce, Eileen
    Milton, John
    Duggan, Conor
    Tyrer, Peter
    Rogers, Robert D.
    JOURNAL OF PERSONALITY DISORDERS, 2007, 21 (03) : 243 - 261
  • [8] Inconsistency and social decision making in patients with Borderline Personality Disorder
    Preuss, Nora
    Braendle, Laura S.
    Hager, Oliver M.
    Haynes, Melanie
    Fischbacher, Urs
    Hasler, Gregor
    PSYCHIATRY RESEARCH, 2016, 243 : 115 - 122
  • [9] Juror decision-making regarding a defendant diagnosed with borderline personality disorder
    Baker, James
    Edwards, Ian
    Beazley, Peter
    PSYCHIATRY PSYCHOLOGY AND LAW, 2022, 29 (04) : 516 - 534
  • [10] ALTERED FEEDBACK PROCESSING AND DECISION-MAKING IN PATIENTS WITH BORDERLINE PERSONALITY DISORDER
    Schuermann, Beate
    Kathmann, Norbert
    Renneberg, Babette
    Endrass, Tanja
    PSYCHOPHYSIOLOGY, 2009, 46 : S152 - S152